Yulei Chen

This paper presents a dataset of neural and kinematic recordings from a macaque performing complex hand-object interactions, showing variation in decoding performance across algorithms and channel availability.

This paper provides a brain-wide dataset of neuronal spiking activity in mice during working memory tasks, enabling analysis of multi-neuron patterns and their temporal coding.

The paper identifies a hierarchical neural geometry in prefrontal cortex that supports multitask behavior by organizing spatial information across subtasks and meta-tasks.

The paper identifies hierarchical replay of cross-region spiking motifs during working memory tasks in mice, revealing their role in maintaining perceptual memory.

This paper introduces Meta-AlignNN, a meta-learning framework that improves BCI stability across subjects, time, and tasks by leveraging neural population dynamics consistency.

This study shows that the anterior piriform cortex actively maintains odor information during working memory delay periods in mice, even when performing a distracting task.

This paper introduces HATS, a high-throughput system for training head-fixed mice in odor-based cognitive tasks, enabling efficient behavioral assays with minimal human intervention.